AIMC Topic: Fragaria

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Imaging and Deep Learning Based Approach to Leaf Wetness Detection in Strawberry.

Sensors (Basel, Switzerland) Nov 7, 2022
The Strawberry Advisory System (SAS) is a tool developed to help Florida strawberry growers determine the risk of common fungal diseases and the need for fungicide applications. Leaf wetness duration (LWD) is one of the important parameters in SAS di...
Plant Leaves Fungicides, Industrial Fragaria Deep Learning Water
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The Concept of the Constructional Solution of the Working Section of a Robot for Harvesting Strawberries.

Sensors (Basel, Switzerland) Jun 7, 2021
Strawberry fruits are products of high commercial and consumption value, and, at the same time, they are difficult to harvest due to their very low mechanical strength and difficulties in identifying them within the bush. Therefore, robots collecting...
Fruit Crops, Agricultural Fragaria Agriculture Robotics
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Supervised binary classification methods for strawberry ripeness discrimination from bioimpedance data.

Scientific reports May 27, 2021
Strawberry is one of the most popular fruits in the market. To meet the demanding consumer and market quality standards, there is a strong need for an on-site, accurate and reliable grading system during the whole harvesting process. In this work, a ...
Electric Impedance Machine Learning Fragaria
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Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.

PLoS computational biology Feb 18, 2021
N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on a genomic scale is crucial for under-standing of 6mA's biological functions. However, the existing ...
Computational Biology DNA Methylation Neural Networks, Computer Deep Learning Base Sequence Species Specificity Fragaria DNA Oryza DNA, Plant Arabidopsis Rosa Databases, Nucleic Acid Binding Sites Adenine
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DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning.

Cells Jul 22, 2020
N4-methylcytosine as one kind of modification of DNA has a critical role which alters genetic performance such as protein interactions, conformation, stability in DNA as well as the regulation of gene expression same cell developmental and genomic im...
Fragaria Rosa DNA, Plant Cytosine Genome, Plant Models, Statistical Base Sequence Deep Learning Computational Biology
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Deep Neural Networks for the Classification of Pure and Impure Strawberry Purees.

Sensors (Basel, Switzerland) Feb 23, 2020
In this paper, a comparative study of the effectiveness of deep neural networks (DNNs) in the classification of pure and impure purees is conducted. Three different types of deep neural networks (DNNs)-the Gated Recurrent Unit (GRU), the Long Short T...
Neural Networks, Computer Algorithms Humans Fruit Fragaria
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Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks.

Sensors (Basel, Switzerland) Jan 16, 2020
In this paper, the authors used an acoustic wave acting as a disturbance (acoustic vibration), which travelled in all directions on the whole surface of a dried strawberry fruit in its specified area. The area of space in which the acoustic wave occu...
Desiccation Fragaria Neural Networks, Computer Sound Spectrography Food Analysis Fruit Signal Processing, Computer-Assisted Acoustics
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Changes in polyphenol composition and bioactivity of the native Chilean white strawberry (Fragaria chiloensis spp. chiloensis f. chiloensis) after in vitro gastrointestinal digestion.

Food research international (Ottawa, Ont.) Nov 8, 2017
The Chilean white strawberry (Fragaria chiloensis spp. chiloensis f. chiloensis) is a semi-domesticated strawberry with high polyphenol content and antioxidant activity occurring in southern Chile. The aim of this work was to compare the composition ...
Gastrointestinal Tract Digestion Plant Extracts Fruit Oxidative Stress alpha-Amylases Polyphenols Cell Line Antioxidants alpha-Glucosidases Fragaria Humans Chile Epithelial Cells Hydrogen Peroxide Inhibitory Concentration 50
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Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.

GigaScience May 1, 2020
BACKGROUND: Shape is a critical element of the visual appeal of strawberry fruit and is influenced by both genetic and non-genetic determinants. Current fruit phenotyping approaches for external characteristics in strawberry often rely on the human e...
Genetic Association Studies Machine Learning Algorithms Fruit Fragaria Models, Theoretical Phenotype Inheritance Patterns
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